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get_text

Syntologyentry name in harvested coderead from the graph 2026-09-24

get_text appears in the code Syntology harvested for 18 papers, as 17 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 2 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named get_text do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 8 of the 17 distinct code bodies named get_text; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
7ran
9unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 18 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

18 papers shown of 18, newest first; 18 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 2 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training added by Syntology 2026-09 (from id) IBM/draco/evals/appworld/scoring/score_runs.py 13dedb566b256f1d unverified Apache-2.0 (permissive)
Fine-Tuning Over Architectural Complexity: Broad-Coverage PII Detection on PIIBench with DeBERTa added by Syntology 2026-05 (from id) pritesh-2711/pii-bench/src/consolidate_pii_datasets.py 1ef20576b3d61dc6 unverified Apache-2.0 (permissive)
Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion 10 Jun 2025 alannawzadamin/scud/scud/scud.py 171b7d239afea3df ran MIT (permissive)
EpiCoder: Encompassing Diversity and Complexity in Code Generation 8 Jan 2025 DeepLearnXMU/EpiCoder/evol/feature_evol.py 6e1c2fcd1329e0bc unverified MIT recorded; this copy not marked cleared · pointer only
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection 19 Aug 2024 chuangchuangtan/c2p-clip-deepfakedetection/networks/decode_clipfeature_image.py 8ce1a73d6b1c51e4 unverified no licence file found · pointer only
Automated Review Generation Method Based on Large Language Models 30 Jul 2024 tju-ecat-ai/automaticreviewgeneration/DataMining/MainContributeCatalystDetailStatisticsNew.py e525116fe4648434 ran Apache-2.0 (permissive)
GLBench: A Comprehensive Benchmark for Graph with Large Language Models 10 Jul 2024 nineabyss/glbench/models/enhancer/OneForAll/get_wiki.py e0f45e1ebcb81816 ran MIT (permissive)
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs 20 Jun 2024 sparksjoe/prism/decouple/utils/custom_generate.py 096b5e8d53a413d3 ran Apache-2.0 (permissive)
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF 12 Jun 2024 taiminglu/seamless/code/SEAM/reward/get_reward.py 55737ec700776650 ran no licence file found · pointer only
ANAH: Analytical Annotation of Hallucinations in Large Language Models 30 May 2024 InternLM/lmdeploy/lmdeploy/model.py 7004ae9213140ec9 ran fingerprinted Apache-2.0 (permissive)
Keep It Private: Unsupervised Privatization of Online Text 16 May 2024 csbao/kip-privatization/src/helper_functions.py 89bc537f3c9703a1 ran no licence file found · pointer only
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration 1 Jun 2023 internlm/lmdeploy/lmdeploy/model.py 7004ae9213140ec9 ran fingerprinted Apache-2.0 (permissive)
One-Shot Labeling for Automatic Relevance Estimation 22 Feb 2023 seanmacavaney/autoqrels/autoqrels/text.py bcfc91914a1db5fb unverified Apache-2.0 (permissive)
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages 18 Apr 2022 rita-nlp/italic/asr_inference.py fef1c66dfeeb6664 unverified Apache-2.0 (permissive)
Linear Semantics in Generative Adversarial Networks 1 Apr 2021 AtlantixJJ/LinearGAN/figure/layer_plot.py a3f50a610e7c3cd8 unverified MIT (permissive)
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 21 Jul 2015 jackknife007/crnn/generate.py dd0c2e41c087ec45 ran · our draft was wrong fingerprinted no licence file found · pointer only
arXiv:2023.findings-eacl.123 yuping-wu/EDU-VL/preprocessing/prepare_candidate_summaries.py 48253ecd913eb2ba unverified MIT (permissive)
arXiv:2023.findings-acl.178 NJUNLP/DMASTE/BMRC/dataProcess.py 22f7df53fc31fedc unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections